joegaotao

highDim

record my summary about learning the theory of high dimension

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

cn

中文博客

GMC

code for JASA2012 paper "Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond".

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

rSVD

Randomized Matrix Decompositions using R

ADMM

Solving Statistical Optimization Problems Using the ADMM Algorithm

blockchain_book

blog

blog content for joegaotao.github.io

conformal

conversation

cosx.org

统计之都主站

cvxpy

A Python-embedded modeling language for convex optimization problems.

dotfiles

My dotfiles

iml

iml: interpretable machine learning R package

joegaotao.github.io

keras

Deep Learning for humans

r-data-practice

R语言数据操作练习

shap

A unified approach to explain the output of any machine learning model.

tensorGM

Learning Guassian (or non-Gaussian) Graphical model for vector, matrix or tensor data

tsfeatures

Time series features